Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Selective metal separation from steel slags and municipal solid waste incinerator ash (MSWIA) by intensified solvent extraction and precipitation

This project tackles heavy metals removal from two end-of-life streams, notably steel slags (SS) and municipal solid waste (MSW). These slags could be valorized and used in cement and concrete materials after eliminating heavy metals and other toxic components. Intensified cost-effective processes have the potential to be green alternatives for extracting and precipitating heavy metals from steel slags and municipal solid waste incinerated ash (MSWIA), using less or no organic solvents saving time and energy, and improving extraction results over traditional separation methods. This research project focuses on valorizing two types of wastes; steel slags (basic oxygen furnace, BOF, electric arc furnace, EAF and Klockner Oxygen Blown Maxhutte process, KOBM) and MSWIA applying process intensification principles.

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Superviseur du corps professoral :

Daria Camilla Boffito

Étudiant :

Partenaire :

Carbon Upcycling Technologies Inc

Discipline :

Engineering

Secteur :

Construction and infrastructure; Manufacturing; Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Setting of critical-metal bearing ores in the Betts Cove and Tilt Cove volcanogenic massive sulfide (VMS) deposits, Baie Verte, Newfoundland Appalachians

The green transition requires the sourcing of critical metals like copper, zinc, cobalt, and nickel for use in climate change mitigating technology. This internship will train one Masters-level student to study the geological setting and localization of these metals associated with ancient submarine volcanic rocks in the Tilt Cove and Betts Cove regions of the Baie Verte Peninsula, Newfoundland and Labrador. The work will be aimed at understanding the setting of critical metal ores, what metals are present, how they formed, and use various techniques ranging from field work looking at rocks in the field as well as subsurface core from previous drilling. The work will also involved advanced statistical analysis of the metals present in the mineralization to determine elemental abundances, their relationships, and how the various metals in the ore originated. The work will increase our understanding of the origin of critical metals in submarine volcanic-associated ore deposits and create potential tools that can increase our efficiency and ability to find further sources of these metals in similar settings in Canada and globally

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Superviseur du corps professoral :

Stephen Piercey

Étudiant :

Partenaire :

Signal Gold

Discipline :

Earth science

Secteur :

Mining; Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Automotive Modular Real-time Edge Computing on Embedded Hardware

As vehicle systems become more advanced, accurate information about vehicle states, parameters, and surrounding operating conditions becomes paramount for vehicle health monitoring and driver control systems. This information is vital for the production, cost, and efficiency of the vehicles, as well as a key to improving passenger safety. In commercial vehicles, not all parameters of interest are directly measurable using sensors, because of sensor costs or design constraints. This research aims to bring developed estimation algorithms to embedded hardware for application to commercial vehicles.

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Superviseur du corps professoral :

Amir Khajepour

Étudiant :

Partenaire :

Audesse

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Waterloo

Programme :

Accelerate

Develop Cost-effective Road Condition Detection Algorithm for Off-road Trucks

The goal of this project is to develop a more advanced cost-effective algorithm that can detect the road condition. The pressures signal from the pressure transducers installed on the struts of the off-road trucks are acquired and analyzed. The relationship between the road condition and pressure changes will be studied and researched. Based on the study and research, a road condition monitoring data model can be developed, and bad road condition event concept can be developed and defined. The data model can be implemented in a real-time mobile controller. Implementation of the data model (algorithm) can report an event of bad road condition. The bad road condition event can be sent to management control center via a wireless communication. Mining management team can dispatch maintenance equipment to repair the section of the bad road on time

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Superviseur du corps professoral :

Simon Yang

Étudiant :

Partenaire :

ACCA Solutions Ltd

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Research and Design of In-Memory Database for Vehicles’ Telematics Based on IoT Big Data Environment

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data from over 2 million vehicles, we have an opportunity to make our customers safer, as well as our communities and cities. To reduce accidents, we need to understand both the driving behavioral patterns that are predictive of accidents and the environmental factors involved. Thus, the data infrastructure should be capable of processing a series of real-time video and telematics data, as well as time-series historical records generated from existing machine learning models to respond to real-world incidents with low latency. However, data communication between the data warehouse and the models/applications is inefficient, an in-memory database is then considered to improve the data communication efficiency. Due to the nature of driving data that it is changing all the time, the structure of the database should be carefully designed and analyzed.

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Superviseur du corps professoral :

Ben Liang

Étudiant :

Partenaire :

Geotab Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services; Transportation and warehousing

Université :

University of Toronto

Programme :

Accelerate

La qualité des emplois d’économie circulaire dans le contexte des entreprises d’économie sociale du Québec

Dans le cadre de l’e?tude sur les synergies entre e?conomie sociale et e?conomie circulaire, la question de l’emploi se pose ine?vitablement. En effet, la circularisation des chai?nes de valeur industrielles transforme le nombre et la nature des ro?les de ses acteurs. Toutefois, si la litte?rature s’accorde pour dire que cette mutation structurelle sera cre?atrice d’emplois, la question de leur qualite? se pose. Ainsi, ce projet s’interesse aux spe?cificite?s des emplois circulaires dans les entreprises d’e?conomie sociale en termes de bien-e?tre, de sante? et de se?curite?, de stabilite? et de de?sirabilite?, et de compe?tences. Il vise ultimement à identifier, comprendre et partager les bonnes pratiques liées à l’emploi dans les chaînes de valeur circulaires.

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Superviseur du corps professoral :

Sophie Bernard

Étudiant :

Partenaire :

Territoires innovants en économie sociale et solidaire

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Using machine learning to allocate stratified care in an electronic cognitive behavioural therapy program for depression

Depression is a leading cause of disability worldwide, yet only one third of patients with depression receive care. This is because the traditional in-person format of mental health care delivery can be inaccessible, inefficient, and expensive. Electronic cognitive behavioural therapy (e-CBT) has been shown to be an effective solution to expand care access, efficiency, and affordability. Combining depression-based e-CBT with artificial intelligence, this study aims to develop an effective decision-making model that matches an individual’s needs with the right amount of care. Our goal at OPTT is to develop a platform that makes e-CBT more efficient and highly accessible to individuals facing mental health issues and this project will use artificial intelligence and tailored interventions to efficiently allocate mental health care resources. At a time when mental health challenges are on the rise due to the pandemic, this technique could scale up care capacity without sacrificing the quality of care.

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Superviseur du corps professoral :

Nazanin Alavi

Étudiant :

Partenaire :

OPTT

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Information and cultural industries

Université :

Queen's University

Programme :

Accelerate

Design and optimization of a solar-air heating system for window applications

The increased pressure of natural resource depletion and environmental issues have largely promoted the search of renewable energy sources such as solar energy. Solar energy can be converted to electric power through photovoltaics (PV), but this requires PV panels and the latter have efficiencies as low as 20%. An alternative way is solar heating systems that use air or fluid to transfer the heat energy from solar irradiation to the indoor environment with a much higher energy conversion efficiency (70%). However, current solar thermal applications have not yet targeted residential and commercial window applications -although these contribute to the largest portion of heat loss in buildings. Aiming at developing more energy-efficient solar-thermo products, Innovative North and University of Guelph are in partnership to develop a novel solar air heating system for window applications. In particular, the solar air heating system will be optimized regarding material selection, weight reduction, and manufacturability as well as integration with venting and control systems with maximized energy-efficiency and lower production cost. A systematic approach will be adopted for the design – that is, mechanical, electrical, and manufacturing aspects of the design will be addressed by the proposed partnership. The proposed project will directly address

Voir la description complète du projet
Superviseur du corps professoral :

Sheng Yang

Étudiant :

Partenaire :

Innovative North

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

University of Guelph

Programme :

Business Strategy Internship

Food System Planning in NWO: Building a strategy for comprehensive planning and assessment in Thunder Bay, ON

Food systems are integral to community health and well-being yet face overlapping challenges in Northwestern Ontario. This project begins the process of conducting a comprehensive food system assessment and planning process for the City of Thunder Bay and the surrounding communities through its local food policy council, the Thunder Bay + Area Food Strategy (TBAFS). This project begins a food system assessment and planning process to guide and inform a more resilient food systems planning process. It will also enhance the TBAFS’s network infrastructure by developing clear strategies for a food system planning process and expanding the TBAFS’s existing network of food system stakeholders.

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Superviseur du corps professoral :

Charles Levkoe

Étudiant :

Partenaire :

Roots to Harvest

Discipline :

Sociology

Secteur :

Education

Université :

Lakehead University

Programme :

Accelerate

The Delphi Group-Digital Marketing and Web Specialist Intern-Kelvin

At Delphi, our team passionately believes that businesses can be both profitable and have a positive long-term impact on the environment and our society. In this climate of change, our group of organizations connects and supports companies to engage in a process of transition towards a clean and more equitable economy and provides tools to aid a sustainable acceleration of this process. This work has led to unexpected growth in the demand for our services. Through this project, we intend to raise the number of our audiences and diversify the levels of their engagement. We plan to expand our products and services among specific targeted audiences. We hope to be able to deliver, in a consistent manner, top-notch content and support via our digital platforms.?This project will oversee the development of our website, various changes, and the development of our landing page; the work will be completed in conjunction with a third-party provider and close collaboration with our Marketing Manager. The Digital Marketing intern will assess the project requirements, create content, and liaise with third-party digital, graphic, photography, public relations, video, and web providers. This project will also allow the intern to compile weekly analytics reports and use these

Voir la description complète du projet
Superviseur du corps professoral :

Heather Harrison

Étudiant :

Partenaire :

The Delphi Group

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Kwantlen Polytechnic University

Programme :

Business Strategy Internship

Extraction of rare earth elements from a leach liquor of waste NdFeB magnets

NeoCtech is a cleantech company producing critical rare earth metals from recycled waste magnets with an electrified, clean and green process. This project is about the development of an viable and sustainable process to separate rare earth elements with neutral CO2 production and significantly less consumption of environmentally detrimental chemicals.

Voir la description complète du projet
Superviseur du corps professoral :

Daria Camilla Boffito

Étudiant :

Partenaire :

neoCtech Corp.

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services

Université :

Polytechnique Montréal

Programme :

Accelerate

Westland Insurance, Marketing Intern-Rochelle

This project will develop the brand and improve the ways we manage the community relationships at both regional and national levels. The internship will be assessing evolving new marketing strategies and looking at creating impactful content, including short videos for different media channels. The project involves revamping the Westland brand through collaboration with internal clients (in regards to various projects and marketing tactics) and through working with the teams that are currently supporting various active campaigns and other brand-growth related initiatives. In addition, this intern will join forces with the Marketing Director, who will serve as a coach and mentor. The Marketing Intern will get exposure to learning how to liaise with external suppliers and partners, following set communication channels or looking at other options and proposing new ideas. Additionally, the project intern will have an opportunity to gain expertise working extensively with specific software, such as Adobe Suite particularly Photoshop and InDesign, CANVA, Microsoft Office (Word, Excel, PowerPoint) and Outlook while having an option to work remotely.

Voir la description complète du projet
Superviseur du corps professoral :

Heather Harrison

Étudiant :

Partenaire :

Westland Insurance

Discipline :

Business

Secteur :

Finance and Insurance

Université :

Kwantlen Polytechnic University

Programme :

Business Strategy Internship

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.